6 research outputs found
Patient-provider disconnect: A qualitative exploration of understanding and perceptions to care integration
- Publication venue
- 'Public Library of Science (PLoS)'
- Publication date
- 01/01/2017
- Field of study
10.1371/journal.pone.0187372PLoS ONE1210e018737
Production of Low Formaldehyde Emission Particleboard by Using New Formulated Formaldehyde Based Resin
- Publication venue
- 'Science Alert'
- Publication date
- Field of study
Analysis of 6 cases of stromal sarcoma of the breast
- Author
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study
Residual gallstone disease — Laparoscopic management
- Author
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study
Responding to COVID-19: How an academic infectious diseases division mobilized in Singapore
- Author
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2020
- Field of study
10.1186/s12916-020-01641-7BMC Medicine181179complete
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Publication venue
- 'Oxford University Press (OUP)'
- Publication date
- 01/01/2019
- Field of study
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press